Senior data architecture leadership, 2-3 days per week. No full-time hire, no long recruiting process.

Who This Is For

Scaleups that need a senior data architect but aren’t ready for a full-time Head of Data. A data architect consultant on a fractional basis gives you the expertise without the overhead.

You might recognize these situations:

  • Platform “works” but breaks at the worst times
  • Cloud costs climbing and nobody can explain why
  • Every new feature touches fifteen pipelines
  • Senior engineers firefighting instead of building
  • Technical debt compounding faster than features ship
  • Stakeholders don’t trust the dashboard numbers

These aren’t signs of a bad team. They’re signs you’ve outgrown your current architecture.

The fix isn’t another mid-level hire who inherits the same problems. It’s senior leadership who sees the whole system.


What I Actually Do

Most teams confuse data engineering with data architecture.

Data engineers solve problems. Data architects decide which problems are worth solving.

Strategic Direction

I guide platform decisions across:

But I don’t hand down edicts. I sit with your engineers, understand constraints, and make the “why” clear.

Hands-On Pairing

Architecture only matters if it ships.

I pair with engineers on implementation - reviewing PRs, debugging production issues, making sure patterns translate from whiteboard to code.

Knowledge Transfer

Every engagement should end with your team stronger.

I document decisions, create standards, and run working sessions. The knowledge stays with you - not with me.

Cross-Team Alignment

Data platforms sit between product, engineering, and operations.

I help these teams align on priorities, ownership, and ways of working.


How It Works

AspectDetails
Time2-3 days per week
Duration6-12 months
LocationBelgium (hybrid), Europe (remote + travel), Global (remote)

Why 6-12 months? Architecture changes don’t show results in weeks. Meaningful platform shifts need two quarters to demonstrate stability and cost improvements.


The First 90 Days

Month 1: Discovery

  • Map current architecture
  • Interview stakeholders
  • Identify highest-impact problems

Output: Clear picture of where technical debt lives and what’s driving cost.

Month 2: Quick Wins + Roadmap

  • Address immediate pain points
  • Build 6-12 month roadmap
  • Prioritize by business impact, not technical elegance

Output: Credibility from quick wins + direction for deeper work.

Month 3: Implementation

  • Ship meaningful improvements
  • Establish patterns and standards
  • Create architecture decision records

Output: Working code + documentation your team can maintain.


Deliverables

Architecture Decision Records (ADRs)

Documented decisions with context and rationale. When someone asks “why did we build it this way?” - the answer is written down.

Technical Roadmap

Prioritized 6-12 month plan. Not a wish list - a sequence accounting for dependencies, capacity, and business priorities.

Standards and Patterns

Guidelines for modeling, testing, deployment, observability. Reduces cognitive load. Prevents reinventing wheels.

Regular Architecture Reviews

Ongoing feedback on implementation. Catch problems early before they’re expensive.


What Changes

Companies I’ve worked with typically see:

  • Fewer outages - Intentional decisions mean fewer mystery failures
  • Platform enables instead of blocks - New use cases don't require rebuilding foundations
  • Faster decisions - Trade-offs documented, debates don't repeat
  • Team independence - Your team maintains and evolves without external help

Why Fractional?

For growing companies, full-time Head of Data often isn’t the right move yet.

Cost - Senior architects cost €150-250K+. Fractional = 30-50% of that.

Flexibility - Scale up during critical periods, down when stable.

Pattern recognition - I see the same problems across industries. Cross-pollination accelerates solutions.

No overhead - No recruiting, onboarding, or management chain to build.


Signs You Need This

  • Data team grown past 3-4 people but lacks senior direction
  • Preparing for funding round - need to demonstrate data maturity
  • Cloud costs crossed urgent threshold
  • Lost a key architect and need to fill the gap fast
  • Teams building in silos, nobody owns the big picture
  • Started AI initiative, realized data foundation isn’t ready

What Does a Data Architect Do?

A data architect designs how data flows through your organization. Not just the technical plumbing - the decisions about what gets captured, where it lives, who owns it, and how different systems talk to each other.

Data architect roles and responsibilities include:

  • System design - Deciding which platforms, tools, and patterns to use
  • Standards and governance - Setting patterns so teams don’t reinvent the wheel
  • Trade-off decisions - Making cost, complexity, and capability trade-offs visible
  • Technical leadership - Reviewing designs, mentoring engineers, and protecting long-term health
  • Cross-team alignment - Translating between business needs and technical implementation

The difference between data engineering and data architecture: engineers build the bricks, architects own the blueprint. Both matter - but without architecture, engineering becomes reactive. See What Is a Data Architect? for the full breakdown.


Fractional vs Full-Time: Cost Comparison

OptionAnnual CostWhat You Get
Full-time senior data architect€150-250K+Dedicated resource, 100% availability
Fractional data architect (2-3 days/week)30-50% of full-timeSenior expertise, shared across clients
No architect€0 directTechnical debt accumulating invisibly

The hidden cost of no architect shows up in:

  • Cloud bills 2-3x higher than necessary
  • Engineers rebuilding the same integrations repeatedly
  • Platform migrations that take twice as long
  • Technical debt that compounds quarterly

Fractional makes sense when you need senior direction but can’t justify - or can’t find - a full-time hire.




Frequently Asked Questions

Frequently Asked Questions

How quickly can a fractional data architect start?
Most engagements start within 1-2 weeks of agreeing to work together. I keep buffer in my schedule for new clients. The first month focuses on discovery - mapping your architecture, meeting stakeholders, and identifying quick wins.
What if we need more than 2-3 days per week?
During critical periods - migrations, major incidents, funding rounds - we can scale up temporarily. The 2-3 day baseline covers ongoing architecture leadership; intensive sprints can go higher when needed.
How do you work with our existing team?
I work alongside your data engineers, not instead of them. That means joining standups, reviewing PRs, pairing on complex problems, and gradually transferring knowledge so your team owns the architecture long-term.

Ready to discuss fractional data architecture?

Book a 30-minute call to explore whether fractional architecture leadership fits your situation.

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